My name is Yuchen Xu, and I am a Ph.D candidate in the Department of Statistics & Data Science at Cornell University. Advised by Professor David S. Matteson, I am actively engaged in a number of funded grant projects.
My current research interests are time series analysis, image analysis, and multivariate analysis, such as dimension reduction through matrix diagonalization and/or tensor decomposition. I am also interested in science-integrated applications like material science, medical data analysis, signal processing, and behavior science.
Please find my CV here.
Xu, Y., Düker, M. C., & Matteson, D. S. (2021). Testing Simultaneous Diagonalizability. arXiv preprint arXiv:2101.07776.
Manzorro, R., Xu, Y., Vincent, J., Rivera, R., Matteson, D., & Crozier, P. (2022). Exploring Blob Detection to Determine Atomic Column Positions and Intensities in Time-Resolved TEM Images with Ultra-Low Signal-to-Noise. Microscopy and Microanalysis, 1-14. doi:10.1017/S1431927622000356.
Xu, Y., Thomas, A. M., Crozier, P. A., & Matteson, D. S. (2023). Dynamic Atomic Column Detection in Transmission Electron Microscopy Videos via Ridge Estimation . arXiv preprint arXiv:2302.00816.
Best Student Poster Award, IEEE Western
New York Image and Signal Processing Workshop (WNYISPW), November
2022.
Title: Non-parametric ridge recovery of
TEM image series given temporal parameterization.
The Most Outstanding Students Awards Bronze
Medal, UPSTAT Conference, April 2021.
Title: Recording atomic column positions
and intensities via Blob Detection in noise-degraded TEM
frames.